Instructions to use buddhist-nlp/sanstib with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use buddhist-nlp/sanstib with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="buddhist-nlp/sanstib")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("buddhist-nlp/sanstib") model = AutoModel.from_pretrained("buddhist-nlp/sanstib", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from buddhist-nlp/sanstib: direct link, hf CLI and curl.
- Browser
- Download file 62 Bytes
-
https://huggingface.co/buddhist-nlp/sanstib/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://buddhist-nlp/sanstib/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/buddhist-nlp/sanstib/resolve/main/tokenizer_config.json
62 Bytes
| {"special_tokens_map_file": null, "full_tokenizer_file": null} |